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The Association Between Clusters of Chronic Conditions and Psychological Well-being in Younger and Older People-A Cross-sectional, Population-based Study from the Lolland-Falster Health Study, Denmark

Overview
Journal J Comorb
Publisher Sage Publications
Date 2021 Jan 8
PMID 33415082
Citations 8
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Abstract

Aim: To investigate the association between clusters of conditions and psychological well-being across age groups.

Method: This cross-sectional study used data collected in the Danish population-based Lolland-Falster Health Study. We included adults over the age of 18 years. Self-reported chronic conditions were divided into 10 groups of conditions. The primary outcome was psychological well-being (the WHO-5 Well-Being Index). Factor analysis constructed the clusters of conditions, and regression analysis investigated the association between clusters and psychological well-being.

Results: Of 10,781 participants, 31.4% were between 18 and 49 years, 35.7% were between 50 and 64 years and 32.9% were above ≥65 years. 35.2% had conditions represented in 1 and 32.9% in at least 2 of 10 condition groups. Across age groups, living with one or more chronic conditions was associated with poorer psychological well-being. Two chronic condition patterns were identified; one comprised cardiovascular, endocrine, kidney, musculoskeletal and cancer conditions, the second mental, lung, neurological, gastrointestinal and sensory conditions. Both patterns were associated with poorer psychological well-being (Pattern 1: -4.5 (95% CI: -5.3 to -3.7), Pattern 2: -9.1 (95% CI -13.8 to -8.2). For pattern 2, participants ≥65 years had poorer psychological well-being compared to younger (-12.6 (95% CI -14.2 to -11.0) vs -6.6 (95% CI: -7.8 to -5.4) for 18-49 years and -8.7 (95% CI: -10.1 to -7.3) for 50-64 years, interaction: p ≤ 0.001).

Conclusion: Living with one or more chronic conditions is associated with poorer psychological well-being. Findings point toward a greater focus on supporting psychological well-being in older adults with both mental and somatic conditions.

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References
1.
Barnett K, Mercer S, Norbury M, Watt G, Wyke S, Guthrie B . Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012; 380(9836):37-43. DOI: 10.1016/S0140-6736(12)60240-2. View

2.
Bergholdt H, Bathum L, Kvetny J, Rasmussen D, Moldow B, Hoeg T . Study design, participation and characteristics of the Danish General Suburban Population Study. Dan Med J. 2013; 60(9):A4693. View

3.
Jylha M . What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med. 2009; 69(3):307-16. DOI: 10.1016/j.socscimed.2009.05.013. View

4.
Caracciolo B, Gatz M, Xu W, Marengoni A, Pedersen N, Fratiglioni L . Relationship of subjective cognitive impairment and cognitive impairment no dementia to chronic disease and multimorbidity in a nation-wide twin study. J Alzheimers Dis. 2013; 36(2):275-84. PMC: 4079077. DOI: 10.3233/JAD-122050. View

5.
Ryan A, Wallace E, OHara P, Smith S . Multimorbidity and functional decline in community-dwelling adults: a systematic review. Health Qual Life Outcomes. 2015; 13:168. PMC: 4606907. DOI: 10.1186/s12955-015-0355-9. View